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Title: A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement

This letter proposes a spatial signature-based power system measurement source identification and authentication methodology. A mathematical morphology method is used to decompose the power system measurement signals and obtain the intrinsic components, which sparsity trends and roughness values are further derived to establish the time-frequency (TF) sparsity mapping. Then random forest classification is utilized to correlate the correct measurement source for each measurement signal based on the derived TF sparsity mapping. Finally, experiment results using five phasor measurement units has validated the effectiveness of this methodology.
Authors:
ORCiD logo [1] ; ORCiD logo [2] ; ORCiD logo [1] ;  [1]
  1. Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science
  2. Univ. of Queensland, Brisbane (Australia). School of Information Technology and Electrical Engineering
Publication Date:
Grant/Contract Number:
AC05-00OR22725
Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Smart Grid
Additional Journal Information:
Journal Volume: 9; Journal Issue: 4; Journal ID: ISSN 1949-3053
Publisher:
IEEE
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 97 MATHEMATICS AND COMPUTING; Cyber security; measurement; source authentication; spatial signature; phasor measurement unit (PMU)
OSTI Identifier:
1474557

Cui, Yi, Bai, Feifei, Liu, Yong, and Liu, Yilu. A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement. United States: N. p., Web. doi:10.1109/TSG.2018.2826444.
Cui, Yi, Bai, Feifei, Liu, Yong, & Liu, Yilu. A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement. United States. doi:10.1109/TSG.2018.2826444.
Cui, Yi, Bai, Feifei, Liu, Yong, and Liu, Yilu. 2018. "A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement". United States. doi:10.1109/TSG.2018.2826444. https://www.osti.gov/servlets/purl/1474557.
@article{osti_1474557,
title = {A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement},
author = {Cui, Yi and Bai, Feifei and Liu, Yong and Liu, Yilu},
abstractNote = {This letter proposes a spatial signature-based power system measurement source identification and authentication methodology. A mathematical morphology method is used to decompose the power system measurement signals and obtain the intrinsic components, which sparsity trends and roughness values are further derived to establish the time-frequency (TF) sparsity mapping. Then random forest classification is utilized to correlate the correct measurement source for each measurement signal based on the derived TF sparsity mapping. Finally, experiment results using five phasor measurement units has validated the effectiveness of this methodology.},
doi = {10.1109/TSG.2018.2826444},
journal = {IEEE Transactions on Smart Grid},
number = 4,
volume = 9,
place = {United States},
year = {2018},
month = {4}
}